8results about How to "Accurate interpolation" patented technology

The invention relates to the technical field of data processing, in particular to an electron beam welding state detection method and system, and the method comprises the steps: obtaining a voltage data sequence in a welding process; interpolating missing data in the voltage data sequence by using an HTFE algorithm, calculating a correction value of a prediction interval error factor in the HTFE algorithm when each missing data is interpolated, and replacing the corresponding missing data by using the voltage data at the corresponding moment predicted based on the correction value to obtain a complete data sequence; and performing anomaly detection on the complete data sequence, and detecting the welding state based on an anomaly detection result. The welding state of the electron beam can be accurately detected.

The application provides a speech enhancement method and device based on a hidden space Schrodinger bridge, equipment and a medium. The method comprises the following steps: obtaining degraded speech; encoding the degraded speech into degraded latent variables in a hidden space through a target encoder, the target encoder being used to converge different types of degraded speech to a distribution close to corresponding clean latent variables in the hidden space, and the target encoder having the function of maintaining the energy characteristics of the power spectrum of an audio signal; processing the degraded latent variables through a target generation network based on a Schrodinger bridge to obtain clean latent variables corresponding to the degraded latent variables; and decoding the clean latent variables through a target decoder to obtain clean speech corresponding to the degraded speech. The application can solve the problem that the related art cannot realize the structured reconstruction of missing spectral information in a high-noise and low signal-to-noise ratio environment, and effectively improve the speech enhancement effect.

The invention discloses a swirler downstream fire core trajectory prediction method and system, electronic equipment and a medium, and the method comprises the steps: carrying out the flame time sequence state deduction of any two adjacent flame images through a flame time sequence state deduction model, and carrying out the prediction of a flame image of an intermediate time sequence; the method comprises the following steps: acquiring a flame image sequence, correspondingly interpolating the flame image sequence into an original flame image sequence to reconstruct and obtain a new flame image sequence, and generating a fire core track based on the new flame image sequence, considering that the establishment of a fire core depends on the distribution of pixel gray values in a spatial dimension, and performing feature learning and time sequence state deduction on the flame image sequence to obtain a flame core track. The method achieves the reconstruction of a flame image at an intermediate moment, achieves the more precise interpolation of a fire core track, achieves the precise prediction of a continuous track of a fire core in a time sequence, improves the positioning precision of the fire core while reducing the high-frame-rate sampling demands, reduces the dependence on high-cost imaging hardware, and improves the prediction accuracy of the fire core track.

A method and device for inserting points in the initial path of a transition state based on a homogeneous coordinate change matrix, the method comprising: S1. Structural optimization of the initial state and final state of a chemical reaction, obtaining reasonable structural files of the initial state and final state of the reaction and placing them under the current path of the script; S2. Identifying the structural files of the initial and final states of the reaction, the reaction atom serial numbers, the total number of insertion points in the transition state, and the number of steps in the activation stage; S3. Reading and dividing the atomic coordinate data in the structural file, and storing the atomic coordinates in the form of a two-dimensional array, namely an IS coordinate matrix and a FS coordinate matrix; S4. Calculating the atomic coordinate data of each step of the reaction in the activation stage; S5. Calculating the atomic coordinate data of each step of the reaction in the reaction stage; S6. Linearly interpolating all atoms to obtain the original atomic coordinate data of the transition state; S7. Overwriting the original transition state coordinate data with the atomic coordinate data of the activation stage and the atomic coordinate data of the reaction stage to generate the final initial path of the transition state.

The present invention relates to the field of data analysis and processing, and in particular to a data cleaning method, system and device based on big data analysis. Environmental data is obtained, and the environmental data includes multiple data points, each data point includes multiple attributes, and each attribute corresponds to an attribute value. According to the abnormality of the attribute value, the environmental data is preprocessed, and the weights of all data points are determined by analyzing the data of each data point in the neighborhood of the preprocessed environmental data; the weights of the data points are used as the weights of data interpolation, and the preprocessed environmental data are interpolated and completed to obtain the environmental data after data cleaning. The present invention solves the problem that the accuracy of environmental data interpolation is affected due to inaccurate weight judgment of data points during data cleaning. The present invention is more accurate in interpolating environmental data, ensuring the integrity and continuity of environmental data.

The invention provides a surface acoustic wave filter self-adaptive frequency sweeping rapid simulation method, which comprises the following steps of performing three-dimensional modeling on a surface acoustic wave filter, setting parameter information of each solving region, and extracting a corresponding calculation model; performing discretization processing on the surface acoustic wave filter calculation model by using a hexahedral mesh; a piezoelectric coupling discrete process is deduced, a piezoelectric coupling spectrum element frequency domain solver is constructed, the discrete domain and solving parameters of the surface acoustic wave filter are imported into the solver, and the solver is initialized; and constructing a self-adaptive frequency sweeping algorithm, updating a frequency point needing to be calculated in a self-adaptive updating manner, calling a piezoelectric coupling frequency domain solver to calculate admittance of the frequency point, and finally obtaining a frequency-admittance characteristic curve of the surface acoustic wave filter model under the broadband. Based on the spectral element method and the self-adaptive frequency sweeping algorithm, the method has the advantages of small calculation memory and high solving efficiency under the condition that the solving precision is met.

The invention provides a meteorological element nearest neighbor weighted interpolation method based on terrain importance. The meteorological element nearest neighbor weighted interpolation method comprises the following steps: constructing a terrain element importance evaluation model; obtaining a topographic element importance degree evaluation result of each original meteorological grid; obtaining an adjacent original meteorological grid of the target interpolation grid by taking the closest spatial distance as a measurement basis; and in the adjacent original meteorological grids, obtaining an original meteorological grid closest to the target interpolation grid in each topographic element dimension, and weighting the obtained target meteorological element value of the original meteorological grid by adopting the topographic element importance degree of the target interpolation grid to obtain the target meteorological element value of the target interpolation grid. According to the terrain importance degree quantitative evaluation model and the nearest weighted interpolation model, the importance degree of the terrain elements to the target meteorological elements is quantitatively evaluated, the incidence relation between the terrain elements and the target meteorological elements is quantified, accurate interpolation of the target meteorological elements at the target interpolation position is achieved, and the accuracy of the interpolation result is improved.

This disclosure provides an adaptive interpolation method and electronic device for carbon emission power density at the city block level, relating to the field of data processing technology. The implementation scheme is as follows: Based on the differences in the gradient vectors of building development volume at various sampling points of a first urban plot, the location of a first interpolation sampling point in the sampling network of the first urban plot is determined, where the building development volume of the sampling point is the ratio of the building area to the base area of ​​the sampling point; based on the carbon emission power density of multiple first neighboring sampling points and the slope of the change in carbon emission power density of the multiple first neighboring sampling points, the carbon emission power density of the first interpolation sampling point is determined; based on the location and carbon emission power density of the first interpolation sampling point, interpolation is performed on the sampling network of the first urban plot. Using the scheme of this disclosure, the accuracy of carbon emission data interpolation can be improved, and the sampling cost of carbon emission data can be reduced.